Green AI: Which Programming Language Consumes the Most?
Fuente:
arXiv
Saved in:
| Main Authors: | Marini, Niccolò, Pampaloni, Leonardo, Di Martino, Filippo, Verdecchia, Roberto, Vicario, Enrico |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Choosing to Be Green: Advancing Green AI via Dynamic Model Selection
by: Cruciani, Emilio, et al.
Published: (2025)
by: Cruciani, Emilio, et al.
Published: (2025)
The why, what, and how of AI-based coding in scientific research
by: Zhuang, Tonghe, et al.
Published: (2024)
by: Zhuang, Tonghe, et al.
Published: (2024)
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
by: Ma, Boxaun, et al.
Published: (2024)
by: Ma, Boxaun, et al.
Published: (2024)
Teaching Programming in the Age of Generative AI: Insights from Literature, Pedagogical Proposals, and Student Perspectives
by: Rubio-Manzano, Clemente, et al.
Published: (2025)
by: Rubio-Manzano, Clemente, et al.
Published: (2025)
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
Neural Task Synthesis for Visual Programming
by: Pădurean, Victor-Alexandru, et al.
Published: (2023)
by: Pădurean, Victor-Alexandru, et al.
Published: (2023)
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
by: Orvalho, Pedro, et al.
Published: (2022)
by: Orvalho, Pedro, et al.
Published: (2022)
Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction
by: De Santis, Enrico, et al.
Published: (2025)
by: De Santis, Enrico, et al.
Published: (2025)
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence
by: Sawicki, Bartosz, et al.
Published: (2024)
by: Sawicki, Bartosz, et al.
Published: (2024)
The simulation of judgment in LLMs
by: Loru, Edoardo, et al.
Published: (2025)
by: Loru, Edoardo, et al.
Published: (2025)
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
"Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most
by: Zhou, Kaitlyn, et al.
Published: (2026)
by: Zhou, Kaitlyn, et al.
Published: (2026)
AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents
by: Xu, Shuyuan, et al.
Published: (2024)
by: Xu, Shuyuan, et al.
Published: (2024)
Language Models and Logic Programs for Trustworthy Tax Reasoning
by: Jurayj, William, et al.
Published: (2025)
by: Jurayj, William, et al.
Published: (2025)
Can Language Models Solve Olympiad Programming?
by: Shi, Quan, et al.
Published: (2024)
by: Shi, Quan, et al.
Published: (2024)
Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis
by: Ricco, Emanuele, et al.
Published: (2025)
by: Ricco, Emanuele, et al.
Published: (2025)
AI Diffusion in Low Resource Language Countries
by: Misra, Amit, et al.
Published: (2025)
by: Misra, Amit, et al.
Published: (2025)
AI Literacy in Low-Resource Languages:Insights from creating AI in Yoruba videos
by: Oyewusi, Wuraola
Published: (2024)
by: Oyewusi, Wuraola
Published: (2024)
Classroom AI: Large Language Models as Grade-Specific Teachers
by: Oh, Jio, et al.
Published: (2026)
by: Oh, Jio, et al.
Published: (2026)
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
by: Handa, Kunal, et al.
Published: (2025)
by: Handa, Kunal, et al.
Published: (2025)
Position: The Most Expensive Part of an LLM should be its Training Data
by: Kandpal, Nikhil, et al.
Published: (2025)
by: Kandpal, Nikhil, et al.
Published: (2025)
The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)
by: Jiao, Junfeng, et al.
Published: (2024)
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study
by: Silva, Jhessica, et al.
Published: (2025)
by: Silva, Jhessica, et al.
Published: (2025)
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
by: Wu, Addison J., et al.
Published: (2026)
by: Wu, Addison J., et al.
Published: (2026)
An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models
by: Payne, Kenneth
Published: (2025)
by: Payne, Kenneth
Published: (2025)
Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration
by: Ding, Kexin, et al.
Published: (2025)
by: Ding, Kexin, et al.
Published: (2025)
Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint
by: Crowson, Matthew G, et al.
Published: (2025)
by: Crowson, Matthew G, et al.
Published: (2025)
Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
by: Islam, Tunazzina
Published: (2026)
by: Islam, Tunazzina
Published: (2026)
Emergent Representations of Program Semantics in Language Models Trained on Programs
by: Jin, Charles, et al.
Published: (2023)
by: Jin, Charles, et al.
Published: (2023)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)
by: Dong, Honghua, et al.
Published: (2024)
When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
by: Li, Xingming, et al.
Published: (2026)
by: Li, Xingming, et al.
Published: (2026)
DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners
by: Wong, Wendy, et al.
Published: (2025)
by: Wong, Wendy, et al.
Published: (2025)
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight
by: Fabiano, Nicola
Published: (2024)
by: Fabiano, Nicola
Published: (2024)
Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
by: Du, Y.
Published: (2025)
by: Du, Y.
Published: (2025)
PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media
by: Kachwala, Zoher, et al.
Published: (2026)
by: Kachwala, Zoher, et al.
Published: (2026)
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
by: Yang, Jiuding, et al.
Published: (2024)
by: Yang, Jiuding, et al.
Published: (2024)
AI-Assisted Systematization for Evaluating GenAI Systems
by: Agarwal, Dhruv, et al.
Published: (2026)
by: Agarwal, Dhruv, et al.
Published: (2026)
Probabilistic Programs of Thought
by: Garg, Poorva, et al.
Published: (2026)
by: Garg, Poorva, et al.
Published: (2026)
Similar Items
-
Choosing to Be Green: Advancing Green AI via Dynamic Model Selection
by: Cruciani, Emilio, et al.
Published: (2025) -
The why, what, and how of AI-based coding in scientific research
by: Zhuang, Tonghe, et al.
Published: (2024) -
Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
by: Ma, Boxaun, et al.
Published: (2024) -
Teaching Programming in the Age of Generative AI: Insights from Literature, Pedagogical Proposals, and Student Perspectives
by: Rubio-Manzano, Clemente, et al.
Published: (2025) -
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)